Magnetic resonance scan-time reduction using echo prediction

Paul, JS; Prasad, M; Venkatesan, R; Braun, M

Magnetic resonance scan-time reduction using echo prediction

Paul, JS Prasad, M Venkatesan, R Braun, M

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Publication Type:: Journal Article
Citation:: International Journal of Imaging Systems and Technology, 2013, 23 (1), pp. 1 - 8
Issue Date:: 2013-03-01

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Field	Value	Language
dc.contributor.author	Paul, JS	en_US
dc.contributor.author	Prasad, M	en_US
dc.contributor.author	Venkatesan, R	en_US
dc.contributor.author	Braun, M https://orcid.org/0000-0001-8908-5546	en_US
dc.date.issued	2013-03-01	en_US
dc.identifier.citation	International Journal of Imaging Systems and Technology, 2013, 23 (1), pp. 1 - 8	en_US
dc.identifier.issn	0899-9457	en_US
dc.identifier.uri	http://hdl.handle.net/10453/27493
dc.description.abstract	A linear prediction (LP) filter derived from a complete echo with zero-phase encoding amplitude is used for recovering anatomical details from a partially acquired echo sequence. The LP filter is shown to reconstruct missing k-space phase and amplitude information, with errors sufficiently low so as to provide image reconstruction with a contrast-to-noise ratio (CNR) ≥ 3. For volume imaging using multislice acquisition, the partial-echo sequence enables more number of slices to be acquired for a given repetition time period T R. For such sequences, separate predictors are used for reconstruction of missing k-space data corresponding to each individual slice in the volume. The proposed filtering scheme is shown to achieve results comparable to other partial k-space approaches such as singularity function analysis (SFA), when the noise content is less than about 0.4%. For higher noise levels, this technique is recommended as a preprocessing step for SFA to track the singularity locations more accurately. © 2013 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 23, 1-8, 2013 Copyright © 2012 Wiley Periodicals, Inc.	en_US
dc.relation.ispartof	International Journal of Imaging Systems and Technology	en_US
dc.relation.isbasedon	10.1002/ima.22030	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Magnetic resonance scan-time reduction using echo prediction	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	23	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	23	en_US

Abstract:

A linear prediction (LP) filter derived from a complete echo with zero-phase encoding amplitude is used for recovering anatomical details from a partially acquired echo sequence. The LP filter is shown to reconstruct missing k-space phase and amplitude information, with errors sufficiently low so as to provide image reconstruction with a contrast-to-noise ratio (CNR) ≥ 3. For volume imaging using multislice acquisition, the partial-echo sequence enables more number of slices to be acquired for a given repetition time period T R. For such sequences, separate predictors are used for reconstruction of missing k-space data corresponding to each individual slice in the volume. The proposed filtering scheme is shown to achieve results comparable to other partial k-space approaches such as singularity function analysis (SFA), when the noise content is less than about 0.4%. For higher noise levels, this technique is recommended as a preprocessing step for SFA to track the singularity locations more accurately. © 2013 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 23, 1-8, 2013 Copyright © 2012 Wiley Periodicals, Inc.

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http://hdl.handle.net/10453/27493